Search Results - "B T M Roerdink, Jos"

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  1. 1

    Stripe noise removal in conductive atomic force microscopy by Li, Mian, Rieck, Jan, Noheda, Beatriz, Roerdink, Jos B. T. M., Wilkinson, Michael H. F.

    Published in Scientific reports (16-02-2024)
    “…Conductive atomic force microscopy (c-AFM) can provide simultaneous maps of the topography and electrical current flow through materials with high spatial…”
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  2. 2

    Data-driven visualization of multichannel EEG coherence networks based on community structure analysis by Ji, Chengtao, Maurits, Natasha M., Roerdink, Jos B. T. M.

    Published in Applied network science (26-09-2018)
    “…An electroencephalography (EEG) coherence network is a representation of functional brain connectivity, and is constructed by calculating the coherence between…”
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  3. 3

    Changes in cortical grey matter density associated with long-standing retinal visual field defects by Boucard, Christine C., Hernowo, Aditya T., Maguire, R. Paul, Jansonius, Nomdo M., Roerdink, Jos B. T. M., Hooymans, Johanna M. M., Cornelissen, Frans W.

    Published in Brain (London, England : 1878) (01-07-2009)
    “…Retinal lesions caused by eye diseases such as glaucoma and age-related macular degeneration can, over time, eliminate stimulation of parts of the visual…”
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  4. 4

    Quantifying Postural Control during Exergaming Using Multivariate Whole-Body Movement Data: A Self-Organizing Maps Approach by van Diest, Mike, Stegenga, Jan, Wörtche, Heinrich J, Roerdink, Jos B T M, Verkerke, Gijsbertus J, Lamoth, Claudine J C

    Published in PloS one (31-07-2015)
    “…Exergames are becoming an increasingly popular tool for training balance ability, thereby preventing falls in older adults. Automatic, real time, assessment of…”
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  5. 5

    Visual Data Exploration for Balance Quantification in Real-Time During Exergaming by Soancatl Aguilar, Venustiano, J van de Gronde, Jasper, J C Lamoth, Claudine, van Diest, Mike, M Maurits, Natasha, B T M Roerdink, Jos

    Published in PloS one (30-01-2017)
    “…Unintentional injuries are among the ten leading causes of death in older adults; falls cause 60% of these deaths. Despite their effectiveness to improve…”
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  6. 6

    Time-resolved transcriptomics and bioinformatic analyses reveal intrinsic stress responses during batch culture of Bacillus subtilis by Blom, Evert-Jan, Ridder, Anja N J A, Lulko, Andrzej T, Roerdink, Jos B T M, Kuipers, Oscar P

    Published in PloS one (08-11-2011)
    “…We have determined the time-resolved transcriptome of the model gram-positive organism B. subtilis during growth in a batch fermentor on rich medium. DNA…”
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  7. 7

    Euclidean Skeletons of Digital Image and Volume Data in Linear Time by the Integer Medial Axis Transform by Hesselink, W.H., Roerdink, J.B.T.M.

    “…A general algorithm for computing Euclidean skeletons of 2D and 3D data sets in linear time is presented. These skeletons are defined in terms of a new…”
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  8. 8

    Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images by Urbach, E.R., Roerdink, J.B.T.M., Wilkinson, M.H.F.

    “…In this paper, we describe a multiscale and multishape morphological method for pattern-based analysis and classification of gray-scale images using connected…”
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  9. 9

    Exploration of the Brain's White Matter Structure through Visual Abstraction and Multi-Scale Local Fiber Tract Contraction by Everts, Maarten H., Begue, Eric, Bekker, Henk, Roerdink, Jos B. T. M., Isenberg, Tobias

    “…We present a visualization technique for brain fiber tracts from DTI data that provides insight into the structure of white matter through visual abstraction…”
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  10. 10

    The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study by Lorist, Monicque M, Bezdan, Eniko, ten Caat, Michael, Span, Mark M, Roerdink, Jos B.T.M, Maurits, Natasha M

    Published in Brain research (13-05-2009)
    “…Abstract The purpose of the present study is to examine the effects of mental fatigue and motivation on neural network dynamics activated during task…”
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  11. 11

    Distinguishing Patients With a Coordination Disorder From Healthy Controls Using Local Features of Movement Trajectories During the Finger-to-Nose Test by Aguilar, Venustiano Soancatl, Manzanera, Octavio Martinez, Sival, Deborah A., Maurits, Natasha M., Roerdink, Jos B. T. M.

    “…Assessment of coordination disorders is valuable for monitoring progression of patients, distinguishing healthy and pathological conditions, and ultimately…”
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  12. 12

    Group-Invariant Colour Morphology Based on Frames by van de Gronde, Jasper J., Roerdink, Jos B. T. M.

    Published in IEEE transactions on image processing (01-03-2014)
    “…Mathematical morphology is a very popular framework for processing binary or grayscale images. One of the key problems in applying this framework to color…”
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  13. 13

    FIVA: Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes by Blom, Evert-Jan, Bosman, Dinne W. J., van Hijum, Sacha A. F. T., Breitling, Rainer, Tijsma, Lars, Silvis, Remko, Roerdink, Jos B. T. M., Kuipers, Oscar P.

    Published in Bioinformatics (01-05-2007)
    “…FIVA (Function Information Viewer and Analyzer) aids researchers in the prokaryotic community to quickly identify relevant biological processes following…”
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  14. 14

    A neurophysiologically plausible population code model for feature integration explains visual crowding by van den Berg, Ronald, Roerdink, Jos B T M, Cornelissen, Frans W

    Published in PLoS computational biology (01-01-2010)
    “…An object in the peripheral visual field is more difficult to recognize when surrounded by other objects. This phenomenon is called "crowding". Crowding places…”
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  15. 15

    Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation by Westenberg, M.A., Roerdink, J.B.T.M., Wilkinson, M.H.F.

    Published in IEEE transactions on image processing (01-12-2007)
    “…The Max-Tree designed for morphological attribute filtering in image processing, is a data structure in which the nodes represent connected components for all…”
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  16. 16

    MOTIFATOR: detection and characterization of regulatory motifs using prokaryote transcriptome data by Blom, Evert-Jan, Roerdink, Jos B. T. M., Kuipers, Oscar P., van Hijum, Sacha A. F. T.

    Published in Bioinformatics (15-02-2009)
    “…Unraveling regulatory mechanisms (e.g. identification of motifs in cis-regulatory regions) remains a major challenge in the analysis of transcriptome…”
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  17. 17

    Efficient Surface Reconstruction From Noisy Data Using Regularized Membrane Potentials by Jalba, A.C., Roerdink, J.B.T.M.

    Published in IEEE transactions on image processing (01-05-2009)
    “…A physically motivated method for surface reconstruction is proposed that can recover smooth surfaces from noisy and sparse data sets. No orientation…”
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  18. 18

    SpotXplore: a Cytoscape plugin for visual exploration of hotspot expression in gene regulatory networks by Westenberg, Michel A., Roerdink, Jos B.T.M., Kuipers, Oscar P., van Hijum, Sacha A.F.T.

    Published in Bioinformatics (15-11-2010)
    “…SpotXplore is a plugin for Cytoscape for extraction and visualization of differentially expressed subnetworks (hotspots) from gene networks. The hotspot-based…”
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  19. 19

    Validation of parkinsonian disease-related metabolic brain patterns by Teune, Laura K., Renken, Remco J., Mudali, Deborah, De Jong, Bauke M., Dierckx, Rudi A., Roerdink, Jos B.T.M., Leenders, Klaus L.

    Published in Movement disorders (01-04-2013)
    “…ABSTRACT Background The objective of this study was to validate disease‐related metabolic brain patterns for Parkinson's disease, multiple system atrophy, and…”
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  20. 20

    A Memory and Computation Efficient Sparse Level-Set Method by van der Laan, Wladimir J., Jalba, Andrei C., Roerdink, Jos B. T. M.

    Published in Journal of scientific computing (01-02-2011)
    “…Since its introduction, the level set method has become the favorite technique for capturing and tracking moving interfaces, and found applications in a wide…”
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